Title :
Noise reduction for differently exposed images
Author :
Yao, Wei ; Li, Zhengguo ; Rahardja, Susanto
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
Abstract :
For scenes under low lighting condition, cameras are usually set to a high sensitivity (ISO) mode to reduce motion blur at the cost of increased image noise. When multiple differently exposed images are used to generate a high dynamic range (HDR) image, the high ISO noise from each low dynamic range (LDR) image can be further amplified by the HDR synthesis algorithm which would result in severely degradation of visual quality. This paper proposes an intensity mapping function based noise reduction method for differently exposed images with high ISO noise. The proposed method does not require any knowledge on either camera response functions or exposure times. In addition, the method is simple yet effective for noise removal from the LDR images without introducing any blurring or other artifacts.
Keywords :
cameras; image denoising; image motion analysis; image sensors; HDR image; ISO noise; LDR image; high dynamic range image; high sensitivity mode; intensity mapping function; low dynamic range image; motion blur reduction; noise reduction; noise reduction method; visual quality degradation; Cameras; Dynamic range; Equations; ISO; Noise; Noise measurement; Noise reduction; High dynamic range imaging; Intensity mapping function; Noise reduction; Weighted frame averaging;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288034